Optimal Operation of Smart Distribution Networks Considering Demand-side Response

With the integration of a high proportion of wind and solar power, the operation of the distribution network is subject to significant uncertainty. To improve the consumption rate of new energy in distribution networks while ensuring the safe and stable operation of distribution network, an optimal operation strategy for multi-time scale distribution networks is proposed considering demand-side response. By mining the demand-side response resources, the multi-time scale optimal operation strategy is formulated according to the different characteristics of these resources. In the day-ahead stage, the power resources with slower response speed are determined. The intra-day rolling and real-time correction phases are executed based on the day-ahead dispatching scheme, comprehensively considering the system operation cost, switching loss cost, curtailment penalty cost, and load compensation cost, so as to achieve optimal operation of the distribution network that closely aligns with the actual operation data. Finally, the simulation on an improved IEEE 33-bus system verifies the capability of the proposed model in mitigating the uncertainty caused by the prediction error to the power grid. Furthermore, it can improve the economic operation of the distribution network and enhance the reliability of the power supply.